Physics-informed machine learning

Reduced Order Modeling Using Advection-Aware Autoencoders
A novel autoencoder architecture is proposed to construct efficient reduced order models for advection-dominated PDEs. Numerical results are presented for parametric, linear and nonlinear advection-dominated problems.
Sourav Dutta, Peter Rivera-Casillas, Brent Styles, Matthew Farthing
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Reduced Order Modeling Using Advection-Aware Autoencoders